AI Article Synopsis

  • The patient-centered medical home (PCMH) model has been widely implemented, but its effectiveness in reducing healthcare costs and utilization shows variable results, primarily due to differences in how practices adopt the model.
  • A study examined data from over 5 million patient records and nearly 6,000 practices across 14 states to assess the impact of PCMH adoption on healthcare usage and expenses from 2011 to 2015.
  • Findings revealed that PCMH adoption led to over 8% lower total healthcare costs, notable reductions in emergency and outpatient care, with the most significant declines in emergency utilization occurring in practices with advanced electronic communication systems.

Article Abstract

Background: The patient-centered medical home (PCMH) model has been widely adopted, but the evidence on its effectiveness remains mixed. One potential explanation for these mixed findings is variation in how the model is implemented by practices.

Objective: To identify the impact of different approaches to PCMH adoption on health care utilization in a long-term, geographically diverse sample of patients.

Design: Difference-in-differences evaluation of PCMH impact on cost and utilization.

Subjects: A total of 5,314,284 patient-year observations from the HealthCore Integrated Research Database, and 5943 practices which adopted the PCMH model in 14 states between 2011 and 2015.

Intervention: PCMH adoption, as defined by the National Committee for Quality Assurance.

Measurements: Six claims-based utilization measures, plus total health care expenditures. We employ hierarchical clustering to organize practices into groups based on their PCMH capabilities, then use generalized difference-in-differences models with practice or patient fixed effects to estimate the effect of PCMH recognition (overall and separately by the groups identified by the clustering algorithm) on utilization.

Results: PCMH adoption was associated with a >8% reduction in total expenditures. We find significant reductions in emergency department utilization and outpatient care, and both lab and imaging services. In our by-group results we find that while the reduction in outpatient care is significant across all 3 groups, the reduction in emergency department utilization is driven entirely by 1 group with enhanced electronic communications.

Conclusion: The PCMH model has significant impact on patterns of health care utilization, especially when heterogeneity in implementation is accounted for in program evaluation.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7993910PMC
http://dx.doi.org/10.1097/MLR.0000000000001497DOI Listing

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